109 results about "Public transport network" patented technology

The invention discloses a novel public transportation networking system of a high-speed fully-automatic fully-closed track train. The system is provided with a main control system, wherein the main control system is connected with all networking track trains and a free control system provided with a passenger embarking and debarking functional device, and the free control system is connected with all relevant functional instruments and equipment; the carriages of all the trains are continuously arranged and filled in a fully-closed track, and the trains are connected end to end to form a circular shape; all the trains in the entire system synchronously run with same speed, and routes respectively fitted and butted between the small circular fully-closed transfer track train and each transportation track train or between the passenger embarking and debarking functional device and each track train have the same direction, the same plane and the same speed; and a plurality of stations are arranged at the track sides of the transportation trains and the change trains and the passenger embarking and debarking functional device is respectively installed at each station. The invention has the advantages of large passenger capacity, convenience, rapidness, economy, high efficiency, environmental protection, fully-automatic running, safety, reliability and easy networking and network expanding.

The invention relates to an intelligent emergency management method for urban public transports. The invention comprehensively applies a method of combining theoretical analysis, measured data, model and algorithm, scientifically integrates geographic information system technology (GIS technology), global positioning system technology (GPS technology) and modern communication technology, utilizes intelligently developed public transport emergency technology of a public transport network and coordinative dispatching technology of a traffic control system, takes network-based dispatching and operation management of public transports as a core, is based on key theories and methods of intelligent coordinative dispatching between public traffic system lines, establishes an emergency management method oriented at public transport events, provides good theories, methods and technical support for intelligent management of the urban public transports, and effectively improves the operation efficiency and the operation safety of the public transports by effectively reducing the event detection and acknowledgement time, adopting proper event response measures, safely removing events and managing influenced public transports until the public transports restore the prior traffic capacity.

The invention discloses a public transportation passenger satisfaction evaluation method and system based on a public opinion knowledge graph, and comprehensively considers a passenger satisfaction analysis method based on questionnaire survey and public transportation network public opinion. A network public opinion analysis technology, a natural language analysis method, a public transport knowledge graph, machine learning and other methods are applied to make a powerful supplement to traditional public transport passenger satisfaction analysis. The method mainly comprises the following steps: implementing text acquisition and processing analysis; completing modeling and storage of the public transport public opinion knowledge graph; acquiring and analyzing satisfaction information of'diving 'passengers; achieving public opinion index mapping, service score research and judgment and construction of a historical event method library. According to the method, text topic classificationand satisfaction index positioning are achieved, and corresponding relations between satisfaction and departments and responsibilities thereof are defined, so that powerful supplements can be providedfor traditional public transport passenger satisfaction analysis, and more scientific reference opinions can be provided for understanding public transport passenger demands and related department service shortages.

The invention relates to an urban public transport network optimization method. The benefits of passengers and operators are comprehensively considered, and the use efficiency of paths is effectively improved by searching the path with the maximum direct traveler density between OD pairs. The urban public transport network optimization method overcomes the shortcomings that only the shortest paths are laid, and the laid paths are long and the like in a traditional model. The longitudinal direction of the paths is more consistent with traveler flow, and optimization and service quality of a public transport network is improved. As the model is an NP-hard problem, the problem is solved by a slime mold heuristic algorithm. By the method, the convergence speed of the algorithm is greatly increased while solution quality is ensured, and fine optimization effects are achieved. Therefore, the method can be widely applied to the field of transport network optimization.

In a city wherein the public transportation network is served by several different transportation lines, the visually handicapped persons wishing to accede to a transportation means belonging to a determined transportation line encounters difficulties in locating and arriving to said bus stop, to determine when the required vehicle is approaching and how to signal the driver to let him know in anticipation that the person who is about to embark is suffering from a disability, in order to allow said driver to consider taking the necessary care and precautions. The system uses a device held by each user who needs it, by a device in each bus stop and a device in each vehicle, it is possible to solve the above said problem, exchanging between said three devices five linking signals, of a limited reach. The frequency and other attributes of each one of said signals are one and only one for each transportation line, and as well as for the circulation direction, for each line.

The invention provides an alternative route set generation and overload optimization method and device for a bus network, and relates to the technical field of intelligent transportation, and the method comprises the steps: obtaining an original bus network topology network; determining the bus full-load rate of the historical road section according to the original bus network topology network, and generating a full-connection bus network topology network according to the original bus network topology network; determining an overload road section and an alternative station set corresponding tothe overload road section according to the bus full load rate of the historical road section, and generating a plurality of newly added bus routes in the full-connection bus network topology networkaccording to the alternative station set; updating the original public transport network topology network according to the plurality of newly added public transport lines, and re-determining the public transport full load rate of the optimized road section; and when the bus full load rate of the optimized road section meets a preset optimization condition, determining a plurality of newly added bus routes as an alternative route set. The overload road section is determined according to the bus full-load rate of the historical road section, the newly-added bus route is determined, and the overload condition of the overload road section is relieved.

The invention discloses a multi-mode public transport time table optimizing method for last transfer demand. The method comprises the following steps: screening a key transfer relation and an associated site according to passenger flow characteristics; acquiring running information of rail transit and ground public transportation based on a planned time table and historical running data; acquiring a passenger transfer walking time and a number of bus station parking berths through investigation; proposing a time table optimization target and an adjusting strategy, and establishing a night-time time table two-stage optimization model; establishing a time table optimization model for a last train transfer problem of the rail transit at a first stage, and acquiring an optimum adjusting scheme by utilizing a branch and bound method; and at a second stage, based on the rail transit time table generated at the first stage, considering the constraint of the bus station berths number, establishing a bus time table optimization model for the ground public transportation and the rail transit last train transfer problem, and acquiring an optimum adjusting scheme by utilizing a branch and bound method. The method can be used for systematically decreasing a transfer failure rate in a multi-mode public transport network.

The invention relates to an evaluation method of an urban conventional bus network, belongs to the field of public transport network evaluation; the method includes establishing an index system of urban conventional public transport network evaluation according to the principles of comprehensiveness, scientificity and feasibility from the three aspects of the road network, passenger transport level and service level of urban public transport; then constructing an urban conventional public bus network evaluation model; analyzing and processing data obtained through vehicle following investigation, traffic investigation, data collection and the like to obtain actual index values; carrying out dimensionless processing on each index value, and determining a membership table of indexes according to dimensionless data of each index and a membership function to obtain an evaluation matrix; and then, calibrating the weights of the indexes influencing the network evaluation in the model by using an analytic hierarchy process and yaahp software; and finally, performing two-stage fuzzy comprehensive evaluation and evaluation result analysis and verification, determining the level of the urbanconventional bus network finally, and providing a basis for evaluation of the urban conventional bus network.

The invention relates to a method for monitoring the operation state of a public transport network, belongs to the technical field of intelligent transportation, and particularly relates to the methodfor monitoring the operation state of the public transportation network based on low frequency AVL (Automatic Vehicle Location) data. The method utilizes road geographic information, public transportation AVL data, and site location information, and realizes the operation state monitoring for the public transportation network through the process of public transportation network segment division,public transportation AVL data map matching, data cleaning, sample data construction, sparse data filling, and public transportation network operation situation assessment. The method for monitoring the operation state of the public transportation network based on the low frequency AVL data can provide decision-making basis for urban general traffic system management, customized public transportation network optimization, and public transportation operation scheduling.

Provided is an efficiency weight calculation and public transport plan performance evaluation method in a public transport complex network. The method comprises improvement of a conventional cross sectional flow estimation method; and improvement of a public transport efficiency weighting PTEW method. In an improved algorithm, when the passenger load factor surpasses a certain level, passengers are more likely to miss a bus, resulting in more waiting time, which reduces public transport efficiency; while such effect is not considered in a traditional PTEW algorithm. Compared with an actual public transport plan, there are two plans: the least number of stops and the least number of transfer times; the improved algorithm can calculate public transport efficiency between two stations in a more scientific manner, thereby helping to provide a public transport network optimization strategy by utilizing characteristics of the public transport complex network; and meanwhile, the invention further proposes the improved algorithm of the public transport efficiency weighting PTEW method with more factors being considered, and thus efficiency weight between the two bus stops is defined in a more scientific manner.

The invention provides a method for measuring the imbalance degree of spatial distribution of a public transportation network traffic flow. The method comprises the following steps of: 1, calculating and collecting practical urban public transportation network data; 2, constructing a weighted oriented space network model of an urban public transportation system; 3, randomly selecting an edge e of the network, and calculating the betweenness of the edge; 4, traversing the whole network, and calculating the betweenness of each edge; and 5, calculating the Gini coefficient of the network. The method can be used for evaluating and balancing the imbalance degree of the spatial distribution of the public transportation network traffic flow, and is beneficial to well controlling and relieving urban traffic jam for the public transportation.

The invention discloses a method for predicting arrival time of a bus with missing data. According to the method, firstly, a density-based clustering method is designed to discover important geographic positions; according to the method, excavated geographic positions are used for representing the geographic structure of each route to form node information, and weighted side information with traffic importance is constructed according to the similarity of the geographic structures, so that a public traffic network diagram is formed. Then, a multi-head space-time diagram attention network prediction model is established to learn correlation between bus routes from the angles of space and time, a space attention module is a multi-head diagram attention module with masks, and a time attention module is constructed by an LSTM layer and a transformer layer. According to the method, the travel time of each path in the public transport network can be accurately and effectively learned and predicted, wherein the arrival time prediction accuracy of the bus route with few current travel records can be improved, and the predicted travel time can be provided for the bus route which does not have historical records and is in a design stage.